LuminaBench
Reasoning benchmark / Epoch AI

OTIS Mock AIME 2024–2025

Lumina VerifiedLumina checked the published sources, versions, model labels, score extraction and conversion. External evaluations were run by their publishers; Lumina has not independently rerun or reproduced them.

Mathematical reasoning on 45 mock AIME problems from the 2024–2025 question set.

Version 2024–2025Verified 2 November 2026219 published resultsOfficial source

OTIS Mock AIME 2024–2025 · Lumina Score

Epoch AI · 45 mock AIME questions

LuminaBench
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20 of 139 models · best variant per model
03006009001,2001,074Qwen3.8 Max (0902)xHigh1,074Gemini 4 ArgonHigh1,074GPT-5.6 SolMax1,074Claude Sonnet 5.5Max1,074GPT-6.1 SolMax1,074GPT-5.5 Pre ReleasexHigh1,074Claude Fable 5High1,074GPT-6 AstraMax1,074Claude Opus 5.5Max1,074Claude Fable 5.1Max1,074GPT-6 SolMax1,074GPT-6.1 TerraMax1,074GPT-5.5 ProxHigh1,073GPT-5.6 TerraMax1,073Muse WonderMax1,073Qwen 3.8 MaxxHigh1,073DeepSeek V4.1 Flash 1017Max1,072Grok 4.6xHigh1,072Muse Spark 1.3xHigh1,071GPT-6 LunaMax

Epoch AI published accuracy and standard error; unspecified effort remains unknown. Missing metrics are omitted from their graph; quality scores remain available.

Results table

Source & conversion

Epoch AI’s maintained evaluations on the 45-question OTIS Mock AIME 2024–2025 set.

Proportion of questions answered correctly, displayed as a percentage. Genuine ties and 100% values stay unchanged. One current Gemini 2.5 Pro row has different mean and selected best-across-scorer values; the export does not identify which score its stderr describes, so it is preserved as unassociated publisher uncertainty.

How the Lumina conversion works

1,000 + 75 × ((original score − 68.81394446347683) / 31.64713712096185). The result is rounded once. Scores may tie.

Frozen initial eligible Epoch cohort. Each exact model release contributes one reference value: the arithmetic mean of all its retained observed configuration scores, so releases with more settings do not receive extra calibration weight. This is normalization only, not a combined index or an estimate. Subsequent source refreshes never refit this calibration.

Calibration
otis-mock-aime-z75-v1 · experimental
Reference mean
68.81394446347683
Population SD
31.64713712096185
Coverage
Standalone Reasoning benchmark.
Identity, exclusions & attribution

Exact model releases and explicit native effort settings are retained. Unknown effort remains unknown; labelled token budgets are a separate setting axis.

Dataset size is published; per-row valid sample counts, trial counts, serving API provider and unreported harness versions remain unknown.

87 historical records have unverified current-protocol provenance and remain in the retained original CSV.

Official benchmark · Data and attribution · CC BY 4.0

Publisher terms. Scores and resource figures are attributed to the original publisher.